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D$@/ 1E1E1HD$`{HD$`1E1E1HD$0HD$8HD$D$@" #HD$`1E1E1HD$0HD$8HD$D$@" LяH$HD$`D$@1 1D$@/ 1E1E1HD$`E1lL臏LpHXAtAtHL$Hx HHH\$A1HD$`1E1E1HD$0HD$8HD$D$@" MD$@" M1E1HD$`HD$0HD$8HD$D$@/ 1E1E1HD$`LM蝎HD$8KH肎HD$`E1HD$0HD$8HD$D$@" ~HD$E1E16HD$`1E1D$@/ D$@/ 1E1E1HD$`LL$MLL$Lt$@1HD$`E1D$@/ HULmHT$@$tAEtAEHExHHEL1AaD$@< E1D$@< E1MhMpAEtAEAtAIx HIaM1LLL$LL$,Ll$8Hl$1E1HD$`E1HD$0HD$8D$@, HD$D$@# E1E1E1HD$D$@/ HD$@E11D$@1 1E1D$@1 1E1WH|$UCLHLD$@LL$ HLD$@LL$'LD$@LL$LLL$ LL$D$@1 1LTAH\$8Hx HHb1u1IHLH _H5HEHֈH81LD$@, 1E1E1HD$`HD$0HD$8HD$dE1lHD$`IHD$0HD$D$@, ULLD$I LD$1D$@1 '1E11ID$@1 HMHD$1LŠM1}HLD$A蠊H\$LD$1HL脊1AYD$@2 E1E1H\"MZI]IEttIUx HIUtI1ɺLHD$HD$1ɺIfUHHSHHHHD$ H@HD$HD$HD$(HD$0HLAHMHHHHHHL ]SAH uH5 H81XZH|$HtHx HHH|$HtHx HHX H=2'#1HH[]fDHVtHT$HtHT$HG<HT$ HH4IHNj1PAPLD$0H  0 and finite. When :math:`p \in (0,1)`, it isn't a true metric but is permissible when the triangular inequality isn't necessary. For p = infinity, use ChebyshevDistance. Note that for p=1, ManhattanDistance is more efficient, and for p=2, EuclideanDistance is more efficient. sklearn.metrics._dist_metrics.ChebyshevDistance32Chebyshev/Infinity Distance .. math:: D(x, y) = max_i (|x_i - y_i|) Examples -------- >>> from sklearn.metrics.dist_metrics import DistanceMetric >>> dist = DistanceMetric.get_metric('chebyshev') >>> X = [[0, 1, 2], ... [3, 4, 5]] >>> Y = [[-1, 0, 1], ... [3, 4, 5]] >>> dist.pairwise(X, Y) array([[1.732..., 5.196...], [6.928..., 0.... ]]) sklearn.metrics._dist_metrics.ManhattanDistance32Manhattan/City-block Distance metric .. math:: D(x, y) = \sum_i |x_i - y_i| sklearn.metrics._dist_metrics.SEuclideanDistance32Standardized Euclidean Distance metric .. math:: D(x, y) = \sqrt{ \sum_i \frac{ (x_i - y_i) ^ 2}{V_i} } sklearn.metrics._dist_metrics.EuclideanDistance32Euclidean Distance metric .. math:: D(x, y) = \sqrt{ \sum_i (x_i - y_i) ^ 2 } sklearn.metrics._dist_metrics.PyFuncDistance64sklearn.metrics._dist_metrics.HaversineDistance64sklearn.metrics._dist_metrics.SokalSneathDistance64sklearn.metrics._dist_metrics.SokalMichenerDistance64sklearn.metrics._dist_metrics.RussellRaoDistance64sklearn.metrics._dist_metrics.RogersTanimotoDistance64sklearn.metrics._dist_metrics.KulsinskiDistance64sklearn.metrics._dist_metrics.DiceDistance64sklearn.metrics._dist_metrics.MatchingDistance64sklearn.metrics._dist_metrics.JaccardDistance64sklearn.metrics._dist_metrics.BrayCurtisDistance64sklearn.metrics._dist_metrics.CanberraDistance64sklearn.metrics._dist_metrics.HammingDistance64sklearn.metrics._dist_metrics.MahalanobisDistance64sklearn.metrics._dist_metrics.MinkowskiDistance64sklearn.metrics._dist_metrics.ChebyshevDistance64sklearn.metrics._dist_metrics.ManhattanDistance64sklearn.metrics._dist_metrics.SEuclideanDistance64sklearn.metrics._dist_metrics.EuclideanDistance64sklearn.metrics._dist_metrics.DistanceMetric32DistanceMetric class This class provides a uniform interface to fast distance metric functions. The various metrics can be accessed via the :meth:`get_metric` class method and the metric string identifier (see below). Examples -------- >>> from sklearn.metrics import DistanceMetric >>> dist = DistanceMetric.get_metric('euclidean') >>> X = [[0, 1, 2], [3, 4, 5]] >>> dist.pairwise(X) array([[ 0. , 5.19615242], [ 5.19615242, 0. ]]) Available Metrics The following lists the string metric identifiers and the associated distance metric classes: **Metrics intended for real-valued vector spaces:** ============== ==================== ======== =============================== identifier class name args distance function -------------- -------------------- -------- ------------------------------- "euclidean" EuclideanDistance - ``sqrt(sum((x - y)^2))`` "manhattan" ManhattanDistance - ``sum(|x - y|)`` "chebyshev" ChebyshevDistance - ``max(|x - y|)`` "minkowski" MinkowskiDistance p, w ``sum(w * |x - y|^p)^(1/p)`` "seuclidean" SEuclideanDistance V ``sqrt(sum((x - y)^2 / V))`` "mahalanobis" MahalanobisDistance V or VI ``sqrt((x - y)' V^-1 (x - y))`` ============== ==================== ======== =============================== **Metrics intended for two-dimensional vector spaces:** Note that the haversine distance metric requires data in the form of [latitude, longitude] and both inputs and outputs are in units of radians. ============ ================== =============================================================== identifier class name distance function ------------ ------------------ --------------------------------------------------------------- "haversine" HaversineDistance ``2 arcsin(sqrt(sin^2(0.5*dx) + cos(x1)cos(x2)sin^2(0.5*dy)))`` ============ ================== =============================================================== **Metrics intended for integer-valued vector spaces:** Though intended for integer-valued vectors, these are also valid metrics in the case of real-valued vectors. ============= ==================== ======================================== identifier class name distance function ------------- -------------------- ---------------------------------------- "hamming" HammingDistance ``N_unequal(x, y) / N_tot`` "canberra" CanberraDistance ``sum(|x - y| / (|x| + |y|))`` "braycurtis" BrayCurtisDistance ``sum(|x - y|) / (sum(|x|) + sum(|y|))`` ============= ==================== ======================================== **Metrics intended for boolean-valued vector spaces:** Any nonzero entry is evaluated to "True". In the listings below, the following abbreviations are used: - N: number of dimensions - NTT: number of dims in which both values are True - NTF: number of dims in which the first value is True, second is False - NFT: number of dims in which the first value is False, second is True - NFF: number of dims in which both values are False - NNEQ: number of non-equal dimensions, NNEQ = NTF + NFT - NNZ: number of nonzero dimensions, NNZ = NTF + NFT + NTT ================= ======================= =============================== identifier class name distance function ----------------- ----------------------- ------------------------------- "jaccard" JaccardDistance NNEQ / NNZ "matching" MatchingDistance NNEQ / N "dice" DiceDistance NNEQ / (NTT + NNZ) "kulsinski" KulsinskiDistance (NNEQ + N - NTT) / (NNEQ + N) "rogerstanimoto" RogersTanimotoDistance 2 * NNEQ / (N + NNEQ) "russellrao" RussellRaoDistance (N - NTT) / N "sokalmichener" SokalMichenerDistance 2 * NNEQ / (N + NNEQ) "sokalsneath" SokalSneathDistance NNEQ / (NNEQ + 0.5 * NTT) ================= ======================= =============================== **User-defined distance:** =========== =============== ======= identifier class name args ----------- --------------- ------- "pyfunc" PyFuncDistance func =========== =============== ======= Here ``func`` is a function which takes two one-dimensional numpy arrays, and returns a distance. Note that in order to be used within the BallTree, the distance must be a true metric: i.e. it must satisfy the following properties 1) Non-negativity: d(x, y) >= 0 2) Identity: d(x, y) = 0 if and only if x == y 3) Symmetry: d(x, y) = d(y, x) 4) Triangle Inequality: d(x, y) + d(y, z) >= d(x, z) Because of the Python object overhead involved in calling the python function, this will be fairly slow, but it will have the same scaling as other distances. sklearn.metrics._dist_metrics.DistanceMetric64sklearn.metrics._dist_metrics.DistanceMetricUniform interface for fast distance metric functions. The `DistanceMetric` class provides a convenient way to compute pairwise distances between samples. It supports various distance metrics, such as Euclidean distance, Manhattan distance, and more. The `pairwise` method can be used to compute pairwise distances between samples in the input arrays. It returns a distance matrix representing the distances between all pairs of samples. The :meth:`get_metric` method allows you to retrieve a specific metric using its string identifier. Examples -------- >>> from sklearn.metrics import DistanceMetric >>> dist = DistanceMetric.get_metric('euclidean') >>> X = [[1, 2], [3, 4], [5, 6]] >>> Y = [[7, 8], [9, 10]] >>> dist.pairwise(X,Y) array([[7.81..., 10.63...] [5.65..., 8.48...] [1.41..., 4.24...]]) .. rubric:: Available Metrics The following lists the string metric identifiers and the associated distance metric classes: **Metrics intended for real-valued vector spaces:** ============== ==================== ======== =============================== identifier class name args distance function -------------- -------------------- -------- ------------------------------- "euclidean" EuclideanDistance - ``sqrt(sum((x - y)^2))`` "manhattan" ManhattanDistance - ``sum(|x - y|)`` "chebyshev" ChebyshevDistance - ``max(|x - y|)`` "minkowski" MinkowskiDistance p, w ``sum(w * |x - y|^p)^(1/p)`` "seuclidean" SEuclideanDistance V ``sqrt(sum((x - y)^2 / V))`` "mahalanobis" MahalanobisDistance V or VI ``sqrt((x - y)' V^-1 (x - y))`` ============== ==================== ======== =============================== **Metrics intended for two-dimensional vector spaces:** Note that the haversine distance metric requires data in the form of [latitude, longitude] and both inputs and outputs are in units of radians. ============ ================== =============================================================== identifier class name distance function ------------ ------------------ --------------------------------------------------------------- "haversine" HaversineDistance ``2 arcsin(sqrt(sin^2(0.5*dx) + cos(x1)cos(x2)sin^2(0.5*dy)))`` ============ ================== =============================================================== **Metrics intended for integer-valued vector spaces:** Though intended for integer-valued vectors, these are also valid metrics in the case of real-valued vectors. ============= ==================== ======================================== identifier class name distance function ------------- -------------------- ---------------------------------------- "hamming" HammingDistance ``N_unequal(x, y) / N_tot`` "canberra" CanberraDistance ``sum(|x - y| / (|x| + |y|))`` "braycurtis" BrayCurtisDistance ``sum(|x - y|) / (sum(|x|) + sum(|y|))`` ============= ==================== ======================================== **Metrics intended for boolean-valued vector spaces:** Any nonzero entry is evaluated to "True". In the listings below, the following abbreviations are used: - N: number of dimensions - NTT: number of dims in which both values are True - NTF: number of dims in which the first value is True, second is False - NFT: number of dims in which the first value is False, second is True - NFF: number of dims in which both values are False - NNEQ: number of non-equal dimensions, NNEQ = NTF + NFT - NNZ: number of nonzero dimensions, NNZ = NTF + NFT + NTT ================= ======================= =============================== identifier class name distance function ----------------- ----------------------- ------------------------------- "jaccard" JaccardDistance NNEQ / NNZ "matching" MatchingDistance NNEQ / N "dice" DiceDistance NNEQ / (NTT + NNZ) "kulsinski" KulsinskiDistance (NNEQ + N - NTT) / (NNEQ + N) "rogerstanimoto" RogersTanimotoDistance 2 * NNEQ / (N + NNEQ) "russellrao" RussellRaoDistance (N - NTT) / N "sokalmichener" SokalMichenerDistance 2 * NNEQ / (N + NNEQ) "sokalsneath" SokalSneathDistance NNEQ / (NNEQ + 0.5 * NTT) ================= ======================= =============================== **User-defined distance:** =========== =============== ======= identifier class name args ----------- --------------- ------- "pyfunc" PyFuncDistance func =========== =============== ======= Here ``func`` is a function which takes two one-dimensional numpy arrays, and returns a distance. Note that in order to be used within the BallTree, the distance must be a true metric: i.e. it must satisfy the following properties 1) Non-negativity: d(x, y) >= 0 2) Identity: d(x, y) = 0 if and only if x == y 3) Symmetry: d(x, y) = d(y, x) 4) Triangle Inequality: d(x, y) + d(y, z) >= d(x, z) Because of the Python object overhead involved in calling the python function, this will be fairly slow, but it will have the same scaling as other distances. takes no arguments%.200s() %s (%zd given)takes exactly one argumentBad call flags for CyFunctiontakes no keyword arguments%.200s() %s_cython_3_1_3exactly__init__an integer is required__pyx_capi____loader__loader__file__origin__package__parent__path__submodule_search_locationsneeds an argumentkeywords must be stringsendunparsable format string'complex double''signed char''unsigned char''short''unsigned short''int''unsigned int''long''unsigned long''long long''unsigned long long''double''complex long double''bool''char''complex float''float'a structPython objecta pointera string'long double'buffer dtypeBuffer not C contiguous.cannot import name %Sname '%U' is not definednewObjget_valid_metric_idsitemsat mostat leastget_metric__reduce___validate_datardist_to_distdist_to_rdistpairwise_pairwise_dense_dense__cinit____setstate____setstate_cython__tupleExpected %s, got %.200s__pyx_unpickle_DistanceMetric__getstate___pairwise_dense_sparse__reduce_cython___pairwise_sparse_dense_pairwise_sparse_sparsebuiltinscython_runtime__builtins__sklearn.metrics._dist_metricsdoes not matchnumpyflatiterbroadcastndarraygenericnumberunsignedintegerinexactcomplexfloatingflexiblecharacterufuncsklearn._cyutilitymemoryview_allocate_bufferarray_cwrappermemoryview_cwrappermemview_sliceslice_memviewslicepybuffer_indexint (__Pyx_memviewslice *)transpose_memslicememoryview_fromsliceget_slice_from_memviewslice_copymemoryview_copymemoryview_copy_from_sliceget_best_orderslice_get_sizefill_contig_strides_arraycopy_data_to_temp_err_extents_err_dimint (PyObject *, PyObject *)_errint (void)_err_no_memorymemoryview_copy_contentsbroadcast_leadingrefcount_copyingrefcount_objects_in_slice_slice_assign_scalarnumpy._core._multiarray_umathnumpy.core._multiarray_umath_ARRAY_API_ARRAY_API is NULL pointernumpy.import_array__module____dictoffset____vectorcalloffset____weaklistoffset__func_doc__doc__func_name__name____qualname__func_dict__dict__func_globals__globals__func_closure__closure__func_code__code__func_defaults__defaults____kwdefaults____annotations___is_coroutineconst float32_tconst int32_tconst float64_t100100000 10000000000000000000000000110001 100000001001,U S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S SDU S SU S S S S STT S ST S SUfTrT S S~T S S S S S S S S S S S S STPUT STT8UNT S SZT S S S=S U S=SRQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQfRQQRQQQQQBRNRQQZRQQQQQQQQQQQQQQQQQQQQQRrRQQQQQvQQQ*RQQQdQ6RQdQtTlSlStTlSlSlSlSlSlU\UlSlS\UlSlSLULULUlSlSlSlSlSlSlSlSlSlSlSlSlSlSlSlStTtTUlSUvUlU\UlSlS\UlSlSlStTLUlStTTQQTQQQQQTTQQTQQ U UTQQQQQQQQQQQQQQQQT;VTQTTTTQQTQQQTTQTRQQRQQQQQ|TlTQQ\TQQ\T\T\TQQQQQQQQQQQQQQQQRRTQTT|TlTQQ\TQQQR\TQRvV`U`U`U`U`U`U`U`U`UFV`U`UFV`U`U`U`U`U`U`U`U`U`U`U`U`U`U`U`U`U`UFV[V`U`U`U`U`U`UU`U`U`U`U`U`U`U`U`U`U`U`U`U`U`U`U`UW`UWOV[VUOV`UU`U`U`U`U`UUU`U`UU`U`UU`UU`U`UW`U`U`U`U`U.W`U`U`UOV`U`U`UUUU`UUUUU`U`UU`U`U`UUU`UX`U`U`U`UV`U`U`U`UVSM2"h"" " "`"81"~ "~"h}8"Pt "8t "@s"Pp "8p Smk9i7ph+cg"Hg "f "^R(]"\W\ZX\2R"R"Q"4 "3 "2"21". "-",8"# "# """ " SP89P7+cH" " "R "( W Z " AUSF1+ __pyx_fatalerrorCompute the pairwise distances between X and Y This is a convenience routine for the sake of testing. For many metrics, the utilities in scipy.spatial.distance.cdist and scipy.spatial.distance.pdist will be faster. Parameters ---------- X : ndarray or CSR matrix of shape (n_samples_X, n_features) Input data. Y : ndarray or CSR matrix of shape (n_samples_Y, n_features) Input data. If not specified, then Y=X. Returns ------- dist : ndarray of shape (n_samples_X, n_samples_Y) The distance matrix of pairwise distances between points in X and Y. Convert the true distance to the rank-preserving surrogate distance. The surrogate distance is any measure that yields the same rank as the distance, but is more efficient to compute. For example, the rank-preserving surrogate distance of the Euclidean metric is the squared-euclidean distance. Parameters ---------- dist : double True distance. Returns ------- double Surrogate distance. Convert the rank-preserving surrogate distance to the distance. The surrogate distance is any measure that yields the same rank as the distance, but is more efficient to compute. For example, the rank-preserving surrogate distance of the Euclidean metric is the squared-euclidean distance. Parameters ---------- rdist : double Surrogate distance. Returns ------- double True distance. Validate the input data. This should be overridden in a base class if a specific input format is required. Get the given distance metric from the string identifier. See the docstring of DistanceMetric for a list of available metrics. Parameters ---------- metric : str or class name The distance metric to use **kwargs additional arguments will be passed to the requested metric set state for pickling get state for pickling reduce method used for pickling Compute the pairwise distances between X and Y This is a convenience routine for the sake of testing. For many metrics, the utilities in scipy.spatial.distance.cdist and scipy.spatial.distance.pdist will be faster. Parameters ---------- X : ndarray or CSR matrix of shape (n_samples_X, n_features) Input data. Y : ndarray or CSR matrix of shape (n_samples_Y, n_features) Input data. If not specified, then Y=X. Returns ------- dist : ndarray of shape (n_samples_X, n_samples_Y) The distance matrix of pairwise distances between points in X and Y. Convert the true distance to the rank-preserving surrogate distance. The surrogate distance is any measure that yields the same rank as the distance, but is more efficient to compute. For example, the rank-preserving surrogate distance of the Euclidean metric is the squared-euclidean distance. Parameters ---------- dist : double True distance. Returns ------- double Surrogate distance. Convert the rank-preserving surrogate distance to the distance. The surrogate distance is any measure that yields the same rank as the distance, but is more efficient to compute. For example, the rank-preserving surrogate distance of the Euclidean metric is the squared-euclidean distance. Parameters ---------- rdist : double Surrogate distance. Returns ------- double True distance. Validate the input data. This should be overridden in a base class if a specific input format is required. Get the given distance metric from the string identifier. See the docstring of DistanceMetric for a list of available metrics. Parameters ---------- metric : str or class name The distance metric to use **kwargs additional arguments will be passed to the requested metric set state for pickling get state for pickling reduce method used for pickling Get the given distance metric from the string identifier. See the docstring of DistanceMetric for a list of available metrics. Parameters ---------- metric : str or class name The string identifier or class name of the desired distance metric. See the documentation of the `DistanceMetric` class for a list of available metrics. dtype : {np.float32, np.float64}, default=np.float64 The data type of the input on which the metric will be applied. This affects the precision of the computed distances. By default, it is set to `np.float64`. **kwargs Additional keyword arguments that will be passed to the requested metric. These arguments can be used to customize the behavior of the specific metric. Returns ------- metric_obj : instance of the requested metric An instance of the requested distance metric class. Given an iterable of metric class names or class identifiers, return a list of metric IDs which map to those classes. Example: >>> L = get_valid_metric_ids([EuclideanDistance, 'ManhattanDistance']) >>> sorted(L) ['cityblock', 'euclidean', 'l1', 'l2', 'manhattan'] DistanceMetric64._pairwise_sparse_denseDistanceMetric64._pairwise_dense_sparseDistanceMetric32._pairwise_sparse_denseDistanceMetric32._pairwise_dense_sparsew cannot contain negative weightssklearn/metrics/_dist_metrics.pyxnumpy._core.umath failed to importnumpy._core.multiarray failed to importX and Y must have the same second dimensionSEuclidean dist: size of V does not matchSEuclideanDistance64.rdist_to_distSEuclideanDistance64.dist_to_rdistSEuclideanDistance64._validate_dataSEuclideanDistance32.rdist_to_distSEuclideanDistance32.dist_to_rdistSEuclideanDistance32._validate_dataMinkowskiDistance requires finite p. For p=inf, use ChebyshevDistance.MinkowskiDistance64.rdist_to_distMinkowskiDistance64.dist_to_rdistMinkowskiDistance64._validate_dataMinkowskiDistance32.rdist_to_distMinkowskiDistance32.dist_to_rdistMinkowskiDistance32._validate_dataMahalanobisDistance64.rdist_to_distMahalanobisDistance64.dist_to_rdistMahalanobisDistance64.__setstate__MahalanobisDistance32.rdist_to_distMahalanobisDistance32.dist_to_rdistMahalanobisDistance32.__setstate__Incompatible checksums (0x%x vs (0xe3b0c44, 0xda39a3e, 0xd41d8cd) = ())Haversine distance only valid in 2 dimensionsHaversineDistance64.rdist_to_distHaversineDistance64.dist_to_rdistHaversineDistance64._validate_dataHaversineDistance32.rdist_to_distHaversineDistance32.dist_to_rdistHaversineDistance32._validate_dataGiven an iterable of metric class names or class identifiers, return a list of metric IDs which map to those classes. Example: >>> L = get_valid_metric_ids([EuclideanDistance, 'ManhattanDistance']) >>> sorted(L) ['cityblock', 'euclidean', 'l1', 'l2', 'manhattan'] EuclideanDistance64.rdist_to_distEuclideanDistance64.dist_to_rdistEuclideanDistance32.rdist_to_distEuclideanDistance32.dist_to_rdistDistanceMetric.__setstate_cython__DistanceMetric64._pairwise_sparse_sparseDistanceMetric64._pairwise_dense_denseDistanceMetric32._pairwise_sparse_sparseDistanceMetric32._pairwise_dense_denseCustom distance function must accept two vectors and return a float.A r#V2ZvQ O1A 2S 2V2TqDauF"JfTU avQ 2XQcr6 q 2V2TqDauF"JfTU avV1r!A :Qha 1 81A #1Ja :QhfD !81 )!j!! 2S   1C~Qahaqhaq 4|4t1 4-Qc !|7!01B.PQ 1RogersTanimotoDistance64RogersTanimotoDistance32SokalMichenerDistance64SokalMichenerDistance32_pairwise_sparse_sparse_pairwise_sparse_dense_pairwise_dense_sparseUnrecognized metric '%s'SokalSneathDistance64SokalSneathDistance32MahalanobisDistance64MahalanobisDistance32_pairwise_dense_denseget_valid_metric_idsSEuclideanDistance64SEuclideanDistance32RussellRaoDistance64RussellRaoDistance32BrayCurtisDistance64BrayCurtisDistance32A R}AQ HDF!1 Jbat7&!V/VI must be squareNotImplementedErrorMinkowskiDistance64MinkowskiDistance32ManhattanDistance64ManhattanDistance32KulsinskiDistance64KulsinskiDistance32HaversineDistance64HaversineDistance32EuclideanDistance64EuclideanDistance32ChebyshevDistance64ChebyshevDistance32A&(6 6Ba  3b  *A'q  1Jacline_in_tracebackasyncio.coroutinesMatchingDistance64MatchingDistance32DEPRECATED_METRICSCanberraDistance64CanberraDistance32specialized_classJaccardDistance64JaccardDistance32HammingDistance64HammingDistance32Unexpected dtype PyFuncDistance64PyFuncDistance32METRIC_MAPPING64METRIC_MAPPING32DistanceMetric64DistanceMetric32sp_base_version__setstate_cython____pyx_PickleError). 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